Description: Algorithm proposed site of a new observation model and a new state-space methods to reduce parts: (1) to different parts of the body cells of different size unit calculates HOG features and linear SVM classification, which proposes a The new site observation model (2) the use of body parts to determine the positioning of the prior distribution site positioning region and then further reduce the state space by matching threshold neighborhood merging parts of the template and settings, thereby reducing the site presents a The method of the state space. Simulation results show that the algorithm is more efficient compared with the conventional algorithms.
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新建文件夹\CreateSvm.m
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